2020-12-31 16:41:45 +08:00
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## Changelog
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2021-01-31 17:50:40 +08:00
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### v0.8.0(31/1/2021)
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- Support multi-label task.
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- Support more flexible metrics settings.
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- Fix bugs.
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#### New Features
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- Add evaluation metrics: mAP, CP, CR, CF1, OP, OR, OF1 for multi-label task. (#123)
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- Add BCE loss for multi-label task. (#130)
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- Add focal loss for multi-label task. (#131)
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- Support PASCAL VOC 2007 dataset for multi-label task. (#134)
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- Add asymmetric loss for multi-label task. (#132)
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- Add analyze_results.py to select images for success/fail demonstration. (#142)
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- Support new metric that calculates the total number of occurrences of each label. (#143)
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- Support class-wise evaluation results. (#143)
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- Add thresholds in eval_metrics. (#146)
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- Add heads and a baseline config for multilabel task. (#145)
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#### Improvements
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- Remove the models with 0 checkpoint and ignore the repeated papers when counting papers to gain more accurate model statistics. (#135)
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- Add tags in README.md. (#137)
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- Fix optional issues in docstring. (#138)
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- Update stat.py to classify papers. (#139)
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- Fix mismatched columns in README.md. (#150)
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- Fix test.py to support more evaluation metrics. (#155)
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#### Bug Fixes
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- Fix bug in VGG weight_init. (#140)
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- Fix bug in 2 ResNet configs in which outdated heads were used. (#147)
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- Fix bug of misordered height and width in `RandomCrop` and `RandomResizedCrop`. (#151)
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- Fix missing `meta_keys` in `Collect`. (#149 & #152)
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2020-12-31 16:41:45 +08:00
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### v0.7.0(31/12/2020)
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2021-01-31 17:50:40 +08:00
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- Add more evaluation metrics.
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- Fix bugs.
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2020-12-31 16:41:45 +08:00
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#### New Features
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- Remove installation of MMCV from requirements. (#90)
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- Add 3 evaluation metrics: precision, recall and F-1 score. (#93)
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- Allow config override during testing and inference with `--options`. (#91 & #96)
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#### Improvements
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- Use `build_runner` to make runners more flexible. (#54)
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- Support to get category ids in `BaseDataset`. (#72)
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- Allow `CLASSES` override during `BaseDateset` initialization. (#85)
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- Allow input image as ndarray during inference. (#87)
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- Optimize MNIST config. (#98)
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- Add config links in model zoo documentation. (#99)
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- Use functions from MMCV to collect environment. (#103)
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- Refactor config files so that they are now categorized by methods. (#116)
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- Add README in config directory. (#117)
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- Add model statistics. (#119)
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- Refactor documentation in consistency with other MM repositories. (#126)
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2021-01-31 17:50:40 +08:00
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#### Bug Fixes
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- Add missing `CLASSES` argument to dataset wrappers. (#66)
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- Fix slurm evaluation error during training. (#69)
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- Resolve error caused by shape in `Accuracy`. (#104)
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- Fix bug caused by extremely insufficient data in distributed sampler.(#108)
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- Fix bug in `gpu_ids` in distributed training. (#107)
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- Fix bug caused by extremely insufficient data in collect results during testing (#114)
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2020-12-31 16:41:45 +08:00
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### v0.6.0(11/10/2020)
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- Support new method: ResNeSt and VGG.
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- Support new dataset: CIFAR10.
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- Provide new tools to do model inference, model conversion from pytorch to onnx.
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#### New Features
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- Add model inference. (#16)
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- Add pytorch2onnx. (#20)
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- Add PIL backend for transform `Resize`. (#21)
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- Add ResNeSt. (#25)
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- Add VGG and its pretained models. (#27)
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- Add CIFAR10 configs and models. (#38)
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- Add albumentations transforms. (#45)
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- Visualize results on image demo. (#58)
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2021-01-31 17:50:40 +08:00
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#### Improvements
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- Replace urlretrieve with urlopen in dataset.utils. (#13)
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- Resize image according to its short edge. (#22)
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- Update ShuffleNet config. (#31)
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- Update pre-trained models for shufflenet_v2, shufflenet_v1, se-resnet50, se-resnet101. (#33)
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2020-12-31 16:41:45 +08:00
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#### Bug Fixes
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- Fix init_weights in `shufflenet_v2.py`. (#29)
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- Fix the parameter `size` in test_pipeline. (#30)
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- Fix the parameter in cosine lr schedule. (#32)
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- Fix the convert tools for mobilenet_v2. (#34)
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- Fix crash in CenterCrop transform when image is greyscale (#40)
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- Fix outdated configs. (#53)
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